FMAT: The Fill-Mask Association Test

The Fill-Mask Association Test ('FMAT') is an integrative and probability-based method using Masked Language Models to measure conceptual associations (e.g., attitudes, biases, stereotypes, social norms, cultural values) as propositions in natural language. Supported language models include 'BERT' <doi:10.48550/arXiv.1810.04805> and its variants available at 'Hugging Face' <>. Methodological references and installation guidance are provided at <>.

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Package details

AuthorHan-Wu-Shuang Bao [aut, cre] (<>)
MaintainerHan-Wu-Shuang Bao <>
Package repositoryView on CRAN
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FMAT documentation built on June 22, 2024, 9:29 a.m.